ТОП просматриваемых книг сайта:
Reservoir Characterization. Группа авторов
Читать онлайн.Название Reservoir Characterization
Год выпуска 0
isbn 9781119556244
Автор произведения Группа авторов
Жанр Физика
Издательство John Wiley & Sons Limited
As seen in Figure 2.2, the enclosed sample is under Pr pressure (radial pressure) and axial pressure, Pax, is applied. In these conditions, the pore pressure is shown as Pp. In Figure 2.2, OD represents the outside diameter of the cap, ID represents the inside diameter of the cap, r is the core radius and Paxial is effective axial pressure that is calculated as in equation (2.16):
Figure 2.2 The placement of the test device is shown in schemati.
Different parts of this chamber which is in direct contact with the fluid, are neutral to chemical reaction. At the ends of this chamber, two caps are placed were the transducers have been installed. As seen in Figure 2.3, the receiver and transmitter are in direct contact with the sample.
The laboratory system is equipped with a back pressure regulator (BPR), to make it possible to simulate the behavior of real reservoir pressure. For axial and confining pressures, a hand pump has been used, and to achieve pore pressure, a hydraulic pump has been utilized. This test has been performed at room temperature. Signals are stored in a computer equipped with particular software which has the capability to integrate into the oscilloscope. Shown in Figure 2.4a is the complete flooding system device with three different fluid injection capsule, each with different kinds of fluids and the oven chamber that maintains the desired test temperature (46 °C in this experiment). Figure 2.4b indicates a picture of the core holder and connected transducers.
It should be noted that the injected fluid in this experiment is CO2 supercritical, which has been injected under 1300 psi pressure and a temperature of 46 °C at a rate of 1 (ml/min) into the sample saturated with distilled water.
Figure 2.3 Schematic, placement of sample with transducer and the top cap.
Figure 2.4 (a) The core flooding system, (b) Image of the holder connected to the core and transducers.
2.3.1 Laboratory Data Collection
Travel times of compressional and shear waves through the super critically CO2 saturated core sample were measured at six different effective pressures (within the reservoir pressure range). Later on, corresponding compressional and shear wave velocities were calculated (Figure 2.5).
Figure 2.5 Compressional and shear wave velocity vs different effective pressure for super critically saturated core sample.
Figure 2.6 P-wave velocity (experimental and estimated) at different effective pressures.
2.4 Results and Discussion
To see how closely estimated wave velocity correlates with the experimental velocity values; we replaced the primary CO2 saturated water with brine (using apparent module of 2.25) using Gassmann equation. Then using the Greenberg-Castagna formula we estimated the compressional wave velocity (Figure 2.6).
In Figure 2.6, the compressional wave velocity obtained from the laboratory experiment and the Gassmann equation is depicted versus effective pressure. It can be noticed that at all effective pressures the estimated velocities have higher values than experimental ones. The difference gradually enlarges as the effective pressure is increased. The rate of velocity increment is faster for estimated velocity than the experimental counterpart. This is because in Gassmann theory environment (the core) is considered a homogeneous and isotropic elastic environment. This theory is often true for Monomineralic rocks such as pure quartz sandstone or clean limestone. But since the sample used in this study developed naturally, possible impurities exist such as clay or fine cracks; so wave scattering is not considered in the Gassmann equations. It is also effective on bulk modulus and often in this hypothesis, it is assumed to be average. Another issue to the assumptions of this model is the fluid replacement instead of several fluids, regardless of their distribution in the environment and is often considered to be the average of the density of the fluids. This is effective on the accuracy of the model especially while the saturation is not uniform (Patchy saturation). Also with the pressure increasing, joints and cracks closed more and reduced permeability. Therefore, fluid flow and the opportunity to achieve balance are much reduced and the operating result is that Gassmann theory pushes farther than expected.
Shear wave velocity of the rock sample was determined at the different pressure from the estimated compressional wave velocity, using Greenberg-Castagna formulas.
Figure 2.7 shows the experimental and estimated shear wave velocity values at different effective pressures. As it can be seen in contrary to the compressional wave, the estimated shear wave velocity is very much in accordance with the corresponding experimental values. Particularly this compatibility is more obvious at low effective pressures. The difference between experimental and estimated velocities and the rate of changes increase as the applied pressure increases. This is because the shear waves are only sensitive to changes solid in the environment. With the increase in effective pressure and reduced porosity and micro cracks, stone resistance increases against deformation (while volume or angle); as a result, it will face increasing shear wave velocity. Since in Greenberg-Castagna equation compressional and shear wave communication waves can be described with porosity and modules, effective stress plays an important role in the trend of estimation. But because of unconsidered pore shape, form, size, and density of fractures, anisotropy, texture and especially effective pressure on the environment in this relationship, differences although small can be seen in the results.